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A Quantitative Basis for Antiretroviral Therapy for HIV-1 Infection
Highly active antiretroviral therapy (HAART)(1–3) has dramatically decreased mortality from HIV-1 infection(4) and is a major achievement of modern medicine. However, there is no fundamental theory of HAART. Elegant models describe the dynamics of viral replication(3,5–9), but a metric for the antiv...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3296892/ https://www.ncbi.nlm.nih.gov/pubmed/22344296 http://dx.doi.org/10.1038/nm.2649 |
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author | Jilek, Benjamin L. Zarr, Melissa Sampah, Maame E. Rabi, S. Alireza Bullen, Cynthia K. Lai, Jun Shen, Lin Siliciano, Robert F. |
author_facet | Jilek, Benjamin L. Zarr, Melissa Sampah, Maame E. Rabi, S. Alireza Bullen, Cynthia K. Lai, Jun Shen, Lin Siliciano, Robert F. |
author_sort | Jilek, Benjamin L. |
collection | PubMed |
description | Highly active antiretroviral therapy (HAART)(1–3) has dramatically decreased mortality from HIV-1 infection(4) and is a major achievement of modern medicine. However, there is no fundamental theory of HAART. Elegant models describe the dynamics of viral replication(3,5–9), but a metric for the antiviral activity of drug combinations relative to a target value needed for control of replication is lacking. Treatment guidelines(10,11) are based on empirical results of clinical trials in which other factors like regimen tolerability also affect outcome. Why only certain drug combinations control viral replication remains unclear. Here we quantify the intrinsic antiviral activity of antiretroviral drug combinations. We show that most single antiretrovirals exhibit previously unappreciated complex non-linear pharmacodynamics that determine their inhibitory potential at clinical concentrations. We demonstrate that neither of the major theories for drug combinations accurately predicts the combined effects of multiple antiretrovirals. However, combined effects can be understood with a novel approach that considers the degree of independence of drug effects. This analysis allows a direct comparison of the inhibitory potential of different drug combinations under clinical concentrations, reconciles the results of clinical trials, defines a target level of inhibition associated with treatment success, and provides a rational basis for treatment simplification and optimization. |
format | Online Article Text |
id | pubmed-3296892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
record_format | MEDLINE/PubMed |
spelling | pubmed-32968922012-09-01 A Quantitative Basis for Antiretroviral Therapy for HIV-1 Infection Jilek, Benjamin L. Zarr, Melissa Sampah, Maame E. Rabi, S. Alireza Bullen, Cynthia K. Lai, Jun Shen, Lin Siliciano, Robert F. Nat Med Article Highly active antiretroviral therapy (HAART)(1–3) has dramatically decreased mortality from HIV-1 infection(4) and is a major achievement of modern medicine. However, there is no fundamental theory of HAART. Elegant models describe the dynamics of viral replication(3,5–9), but a metric for the antiviral activity of drug combinations relative to a target value needed for control of replication is lacking. Treatment guidelines(10,11) are based on empirical results of clinical trials in which other factors like regimen tolerability also affect outcome. Why only certain drug combinations control viral replication remains unclear. Here we quantify the intrinsic antiviral activity of antiretroviral drug combinations. We show that most single antiretrovirals exhibit previously unappreciated complex non-linear pharmacodynamics that determine their inhibitory potential at clinical concentrations. We demonstrate that neither of the major theories for drug combinations accurately predicts the combined effects of multiple antiretrovirals. However, combined effects can be understood with a novel approach that considers the degree of independence of drug effects. This analysis allows a direct comparison of the inhibitory potential of different drug combinations under clinical concentrations, reconciles the results of clinical trials, defines a target level of inhibition associated with treatment success, and provides a rational basis for treatment simplification and optimization. 2012-02-19 /pmc/articles/PMC3296892/ /pubmed/22344296 http://dx.doi.org/10.1038/nm.2649 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Jilek, Benjamin L. Zarr, Melissa Sampah, Maame E. Rabi, S. Alireza Bullen, Cynthia K. Lai, Jun Shen, Lin Siliciano, Robert F. A Quantitative Basis for Antiretroviral Therapy for HIV-1 Infection |
title | A Quantitative Basis for Antiretroviral Therapy for HIV-1 Infection |
title_full | A Quantitative Basis for Antiretroviral Therapy for HIV-1 Infection |
title_fullStr | A Quantitative Basis for Antiretroviral Therapy for HIV-1 Infection |
title_full_unstemmed | A Quantitative Basis for Antiretroviral Therapy for HIV-1 Infection |
title_short | A Quantitative Basis for Antiretroviral Therapy for HIV-1 Infection |
title_sort | quantitative basis for antiretroviral therapy for hiv-1 infection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3296892/ https://www.ncbi.nlm.nih.gov/pubmed/22344296 http://dx.doi.org/10.1038/nm.2649 |
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